Franz Inc., an early innovator in AI and supplier of Graph Database technology for Neuro-Symbolic AI Solutions, has announced AllegroGraph v8.4, with an Enhanced AI-powered Natural Language Query interface AllegroGraph’s advanced natural language queries drive Agentic AI solutions by enabling more intuitive, human-like interaction between users and intelligent systems—critical for agents that need to reason, plan, and act autonomously. Dr. Jans Aasman, CEO of Franz Inc. “This latest release makes it easier for enterprises to build intelligent agents that can understand user intent, reason over complex data, and take meaningful action—bringing us closer to truly autonomous, explainable AI systems.” AllegroGraph v8.4 has enhanced its Natural Language Query interface to allow users to ask questions in natural language and automatically converts them into SPARQL queries for precise Knowledge Graph interrogation. This AI-powered capability depends on the platform’s vector database which contains query examples that help the system learn and improve over time. With this feature, you have built-in GraphRAG capabilities for your agentic AI applications. In this release, AllegroGraph provides enhanced the collaborative workflow around these Natural Language Query examples with new metadata tracking. Additionally, a new tabular view option has been introduced that provides a more structured presentation of query metadata, making it easier to sort, filter, and compare query examples at a glance. This enhancement streamlines the process of maintaining high-quality training examples that drive improved natural language understanding. Other features include: Bridging Documents and Graphs; Security and Access Control; AI Symbolic Rule Generation; Knowledge Graph-as-a-Service; Enhanced Scalability and Performance; and Advanced Knowledge Graph Visualization.